Andreas Theophilou

Novel Exploration via Orthogonality

Efficient exploration remains one of the key open problems in reinforcement learning. Discovering novel states or transitions efficiently requires policies that effectively direct the agent away from regions of the state space that are already well explored. We introduce Novel Exploration via Orthog…